Max A. Viergever
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Advanced MRI Techniques and Applications 126
- Medical Imaging Techniques and Applications 115
- Advanced Neuroimaging Techniques and Applications 58
- MRI in cancer diagnosis 53
- Radiomics and Machine Learning in Medical Imaging 48
- Cardiac Imaging and Diagnostics 40
- Computer Vision and Pattern Recognition top 0.02%
- Medical Image Segmentation Techniques 133
- Health Informatics top 0.2%
- Ophthalmology top 0.2%
- Biophysics top 0.1%
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- Advanced X-ray and CT Imaging 61
- Co-authors
- J. B. Antoine MaintzJosien P. W. PluimBram van GinnekenMarius StaringBart M. ter Haar RomenyStefan KleinJoes StaalIvana Išgum
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- Journal of Neuroscience (2 papers)PLoS ONE (19 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Max A. Viergever
551 papers receiving 34.4k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Radiology, Nuclear Medicine and Imaging 17.9k
- Computer Vision and Pattern Recognition 13.9k
- Health Informatics 346
- Ophthalmology 2.1k
- Biophysics 1.1k
Countries citing papers authored by Max A. Viergever
This map shows the geographic impact of Max A. Viergever's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Max A. Viergever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max A. Viergever more than expected).
Fields of papers citing papers by Max A. Viergever
This network shows the impact of papers produced by Max A. Viergever. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Max A. Viergever. The network helps show where Max A. Viergever may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Max A. Viergever, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 10 | |
| 8 | Explainable artificial intelligence (XAI) in deep learning-based medical image analysisbreakdown → | 2022 | 649 |
| 9 | 2021 | 5 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 155 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 8 | |
| 14 | 2018 | 121 | |
| 15 | Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography | 2018 | 4 |
| 16 | 2017 | 16 | |
| 17 | Generative Adversarial Networks for Noise Reduction in Low-Dose CTbreakdown → | 2017 | 720 |
| 18 | 2016 | 8 | |
| 19 | 2013 | 79 | |
| 20 | 2008 | 209 |
About Max A. Viergever
Max A. Viergever is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 563 papers that have together received 35.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (133 papers), Advanced MRI Techniques and Applications (126 papers), Medical Imaging Techniques and Applications (115 papers), Advanced X-ray and CT Imaging (61 papers), Advanced Neuroimaging Techniques and Applications (58 papers), MRI in cancer diagnosis (53 papers), Radiomics and Machine Learning in Medical Imaging (48 papers) and Cardiac Imaging and Diagnostics (40 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (17.9k citations), Computer Vision and Pattern Recognition (13.9k citations) and Health Informatics (346 citations). Max A. Viergever has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include J. B. Antoine Maintz, Josien P. W. Pluim, Bram van Ginneken, Marius Staring, Bart M. ter Haar Romeny, Stefan Klein, Joes Staal, Ivana Išgum, Meindert Niemeijer and Keelin Murphy. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.